People

Photograph of Zach Landis-Lewis. Man with light skin tone and dark hair. He wears a blue shirt and wire-rimmed glasses.

Zach Landis-Lewis, PhD, MLIS (he/him)

Principal Investigator

Email: zachll@umich.edu

Zach Landis-Lewis, PhD, MLIS, is an Assistant Professor in the Department of Learning Health Sciences in the University of Michigan Medical School. He leads the DISPLAY Lab, which studies precision feedback for learning health systems. With expertise in health informatics, implementation science, and human-computer interaction, his research focuses on how to support healthcare professional learning and clinical quality improvement through coaching and appreciation feedback via digital interventions. His work as Principal Investigator has been funded by the National Institutes of Health, National Library of Medicine. Zach teaches a course on knowledge representation and management to graduate students. His research incorporates a global health focus, addressing representation of computer-interpretable clinical practice guidelines in low-income countries to improve health care. He received a PhD in Biomedical Informatics and Master of Library and Information Science from the University of Pittsburgh.

Photograph of Ayshwarya Jagadeesan. Woman with medium skin tone and dark hair wearing a blue bracelet and blue shirt.

Ayshwarya Jagadeesan (she/her)

Application Programmer Analyst Senior

Email: ayshjag@med.umich.edu

Ayshwarya Jagadeesan is an Application Programmer Analyst Senior in the Department Of Learning Health Sciences. In this role, she supports the technical development of a precision feedback service. The precision feedback service uses a knowledgebase containing a library of message templates and models of feedback interventions to process clinical performance data for the generation of messages that are actionable and motivating. Her work is mostly to develop Application Program Interfaces, Web applications, and data integration. She supports the development of message tailoring knowledge in the form of computable knowledge objects that are managed in the platform developed by the knowledge grid team. Additionally, she does software development, data mining, or scripting activities in support of the research and service mission of the department. Ayshwarya has a Master's degree in Computer Science At the University Of Texas Dallas, a Master's degree in Artificial Intelligence and Machine Learning at the University Of Texas Austin, and a Bachelor's degree in  Electronics and Computer Engineering in India. Prior to joining the Department Of Learning Health Sciences Ayshwarya worked in Parkinson's Disease research lab at Michigan Medicine and UMTRI

Ayshwarya enjoys reading, dining out, and teaching programming and software design.

Photograph of Anjana Deep Renji. Woman with medium skin tone and dark hair, wearing a patterned shirt and pearl earrings.

Anjana Deep Renji, MBA (she/her)

Health Infrastructures and Learning Systems (HILS) PhD Student

Email: anjanadr@umich.edu

Anjana Deep Renji is a Ph.D. student in the Health infrastructure and Learning systems. She completed her bachelor in Biochemistry and an MBA in hospital Administration from India. She also has a Fellowship in Eye Hospital Management. Before joining the Ph.D. program, she was working as the Quality Assurance and Operations Manager in India. She has also worked as a Quality Consultant and has helped hospitals in implementing quality measures in clinical settings. 

Outside the work, Anjana loves to spend her time with the family, traveling to new places, and also do DIY activities with her daughter. She is also a singer trained in Indian Classical Music. 

Photograph of Yidan (Eden) Cao. Woman with light skin tone and dark hair, wearing a white shirt and black blazer.

Yidan (Eden) Cao, MPH, MS (she/her)

Health Infrastructures and Learning Systems (HILS) PhD Student

Email: yidancao@umich.edu

Yidan is a PhD candidate in the Department of Learning Health Sciences. She is working as a graduate student research assistant at the Display Lab, focusing on the development and evaluation of a precision feedback system for learning health systems. She is also a research associate at the Center for Promotion of Child Development through Primary Care, working on several NIH-funded research projects that leverage clinical decision support tools to improve care quality in pediatric primary care settings. Her research focuses on human-centered design, implementation, and evaluation of provider-facing digital health interventions to address issues of health and health care inequities. After completing her BA degree in China, Yidan earned her master’s degree at the Johns Hopkins School of Public Health Department of Health Policy and Management. 

Photograph of Patrick Galante. Man with light skin tone and light hair, wearing a blue shirt, tie, and a white coat.

Patrick Galante (he/him)

Research Assistant

Email: pamaga@umich.edu

Patrick is a graduate of the Biomedical Engineering Department with a concentration in biochemistry, and a returning student for a Masters of Science in Engineering in Industrial Operations Engineering. He is a proud alumni of the Wilson Center’s Human Powered Submarine Design Team, and has worked as an engineer and scientist in the allied health professions (Pathology, Histology), high-performance automotive and marine engine manufacturing research and development, and graduate education at the MSU College of Osteopathic Medicine. Patrick is involved with development and testing of the software implementation of precision feedback theory, as well as documentation and publications relating to the lab’s collective efforts. 

He enjoys skiing, SCUBA diving, and healthcare system optimization directed towards supporting all levels of healthcare providers.

Photograph of Hana Chung. Woman with light skin tone and dark hair, wearing a black shirt and black jacket.

Hana Chung (she/her)

Research Assistant

Email: hanach@umich.edu

Hana is a master's student at the School of Information specializing in Human-Computer Interaction. She works as a research assistant at the Display Lab, focusing on qualitative research methods and developing a survey which elicits clinicians' preferences for precision feedback. Hana is also a graduate student instructor in the Women's and Gender Studies Department, where she teaches an undergraduate introductory course about feminist perspectives on women's health issues. Her background in Psychology and Women's and Gender Studies informs her current research interests focusing on trauma-informed computing. She is currently using participatory design methods to work with organizations to design digital tools which support trauma survivors and care support workers through experiences of technology-facilitated abuse.

Outside of work, Hana enjoys baking, spending time with her cat, and thrift shopping.

Photograph of Gan Shi. Man with light skin tone and dark hair, wearing a green shirt and black circular glasses.

Gan Shi (he/him)

Health Infrastructures and Learning Systems (HILS) PhD Student 

Email: ganshi@umich.edu

Gan Shi is a PhD student in Health Infrastructures and Learning Systems. He received his B.S. in Public Health and M.S. in Health Sciences Informatics at the University of Washington and Johns Hopkins University. Gan served as a research associate at Johns Hopkins University. Before joining the HILS program, he had industrial experience in management consulting and real-world studies partnered with top pharmaceutical companies. He is enchanted by the possible interactions in the jointed area of data and health care - particularly, how implementations in practical scenes can improve access to and quality of care.